The conventional linear time-frequency analysis method cannot achieve high resolution and energy focusing in the time and frequency dimensions at the same time,especially in the low frequency region.In order to improv...The conventional linear time-frequency analysis method cannot achieve high resolution and energy focusing in the time and frequency dimensions at the same time,especially in the low frequency region.In order to improve the resolution of the linear time-frequency analysis method in the low-frequency region,we have proposed a W transform method,in which the instantaneous frequency is introduced as a parameter into the linear transformation,and the analysis time window is constructed which matches the instantaneous frequency of the seismic data.In this paper,the W transform method is compared with the Wigner-Ville distribution(WVD),a typical nonlinear time-frequency analysis method.The WVD method that shows the energy distribution in the time-frequency domain clearly indicates the gravitational center of time and the gravitational center of frequency of a wavelet,while the time-frequency spectrum of the W transform also has a clear gravitational center of energy focusing,because the instantaneous frequency corresponding to any time position is introduced as the transformation parameter.Therefore,the W transform can be benchmarked directly by the WVD method.We summarize the development of the W transform and three improved methods in recent years,and elaborate on the evolution of the standard W transform,the chirp-modulated W transform,the fractional-order W transform,and the linear canonical W transform.Through three application examples of W transform in fluvial sand body identification and reservoir prediction,it is verified that W transform can improve the resolution and energy focusing of time-frequency spectra.展开更多
The high and steep slopes along a high-speed railway in the mountainous area of Southwest China are mostly composed of loose accumulations of debris with large internal pores and poor stability,which can easily induce...The high and steep slopes along a high-speed railway in the mountainous area of Southwest China are mostly composed of loose accumulations of debris with large internal pores and poor stability,which can easily induce adverse geological disasters under rainfall conditions.To ensure the smooth construction of the high-speed railway and the subsequent safe operation,it is necessary to master the stability evolution process of the loose accumulation slope under rainfall.This article simulates rainfall using the finite element analysis software’s hydromechanical coupling module.The slope stability under various rainfall situations is calculated and analysed based on the strength reduction method.To validate the simulation results,a field monitoring system is established to study the deformation characteristics of the slope under rainfall.The results show that rainfall duration is the key factor affecting slope stability.Given a constant amount of rainfall,the stability of the slope decreases with increasing duration of rainfall.Moreover,when the amount and duration of rainfall are constant,continuous rainfall has a greater impact on slope stability than intermittent rainfall.The setting of the field retaining structures has a significant role in improving slope stability.The field monitoring data show that the slope is in the initial deformation stage and has good stability,which verifies the rationality of the numerical simulation method.The research results can provide some references for understanding the influence of rainfall on the stability of loose accumulation slopes along high-speed railways and establishing a monitoring system.展开更多
Li transient concentration distribution in spherical active material particles can affect the maximum power density and the safe operating regime of the electric vehicles(EVs). On one hand, the quasiexact/exact soluti...Li transient concentration distribution in spherical active material particles can affect the maximum power density and the safe operating regime of the electric vehicles(EVs). On one hand, the quasiexact/exact solution obtained in the time/frequency domain is time-consuming and just as a reference value for approximate solutions;on the other hand, calculation errors and application range of approximate solutions not only rely on approximate algorithms but also on discharge modes. For the purpose to track the transient dynamics for Li solid-phase diffusion in spherical active particles with a tolerable error range and for a wide applicable range, it is necessary to choose optimal approximate algorithms in terms of discharge modes and the nature of active material particles. In this study, approximation methods,such as diffusion length method, polynomial profile approximation method, Padé approximation method,pseudo steady state method, eigenfunction-based Galerkin collocation method, and separation of variables method for solving Li solid-phase diffusion in spherical active particles are compared from calculation fundamentals to algorithm implementation. Furthermore, these approximate solutions are quantitatively compared to the quasi-exact/exact solution in the time/frequency domain under typical discharge modes, i.e., start-up, slow-down, and speed-up. The results obtained from the viewpoint of time-frequency analysis offer a theoretical foundation on how to track Li transient concentration profile in spherical active particles with a high precision and for a wide application range. In turn, optimal solutions of Li solid diffusion equations for spherical active particles can improve the reliability in predicting safe operating regime and estimating maximum power for automotive batteries.展开更多
A novel method of Doppler frequency extraction is proposed for Doppler radar scoring systems. The idea is that the time-frequency map can show how the Doppler frequency varies along the time-line, so the Doppler frequ...A novel method of Doppler frequency extraction is proposed for Doppler radar scoring systems. The idea is that the time-frequency map can show how the Doppler frequency varies along the time-line, so the Doppler frequency extraction becomes curve detection in the image-view. A set of morphological operations are used to implement curve detection. And a map fusion scheme is presented to eliminate the influence of strong direct current （DC） component of echo signal during curve detection. The radar real-life data are used to illustrate the performance of the new approach. Experimental results show that the proposed method can overcome the shortcomings of piecewise-processing-based FFT method and can improve the measuring precision of miss distance.展开更多
Objective: To analyze the non-periodic, unstable and even chaotic echoes scattered from microbubbles which are extremely sensitive and may easily collapse, fragment or shrink when ultrasound contrast agents are expose...Objective: To analyze the non-periodic, unstable and even chaotic echoes scattered from microbubbles which are extremely sensitive and may easily collapse, fragment or shrink when ultrasound contrast agents are exposed to ultrasound (US) irradiation. Methods: The combined time-frequency analysis was applied to the original signals instead of the traditional Fourier spectral analysis technique. Results: The results obtained from simulation as well as experiment showed that the subharmonic, 2nd harmonic and ultra harmonic of the microbubbles occurred during the oscillation and varied with time. The dependence on the incident ultrasonic amplitude and microbubble parameters were established. Conclusion: The transient echoes backscattered from the ultrasound agent in the evaluation of the blood perfusion can be analyzed thoroughly by the technique of combined-frequency analysis and the time detail of the frequency contents can be revealed.展开更多
Nyquist Folding Receiver(NYFR)is a perceptron structure that realizes a low probability of intercept(LPI)signal analog to information.Aiming at the problem of LPI radar signal receiving,the time domain,frequency domai...Nyquist Folding Receiver(NYFR)is a perceptron structure that realizes a low probability of intercept(LPI)signal analog to information.Aiming at the problem of LPI radar signal receiving,the time domain,frequency domain,and time-frequency domain problems of signals intercepted by NYFR structure are studied.Combined with the time-frequency analysis(TFA)method,a radar recognition scheme based on deep learning(DL)is introduced,which can reliably classify common LPI radar signals.First,the structure of NYFR and its characteristics in the time domain,frequency domain,and time and frequency domain are analyzed.Then,the received signal is then converted into a time-frequency image(TFI).Finally,four kinds of DL algorithms are used to classify LPI radar signals.Simulation results demonstrate the correctness of the NYFR structure,and the effectiveness of the proposed recognition method is verified by comparison experiments.展开更多
In order to study the time-frequency characteristics of blasting vibration signals, measured in milliseconds, we carried out site blasting vibration tests at an open pit of the Jinduicheng Mine. Based on recorded fiel...In order to study the time-frequency characteristics of blasting vibration signals, measured in milliseconds, we carried out site blasting vibration tests at an open pit of the Jinduicheng Mine. Based on recorded field data and applying a combination of RSPWVD and wavelet, we analyzed the time-fre- quency characteristics of recorded field data, summarized the time-frequency characteristics of blasting vibration signals in different frequency bands and present detailed information of blasting vibration sig- nals in milliseconds of high time-frequency resolutions. Because RSPWVD can be seen as of definite physical significance to signal energy distribution in time and frequency domains, we studied the energy distribution of blasting vibration signals for various milliseconds intervals from a perspective of energy distribution. The results indicate that the effect of milliseconds intervals on time-frequency characteris- tics of blasting vibration signals is significant; the length of delay time directly affects the energy distri- bution of blasting vibration signals as well as the duration of energy in ffeauencv bands.展开更多
Walnut(Juglans regia L.)is a good source of lipids and polyunsaturated fatty acids(PUFAs).In order to explore the biosynthesis molecular mechanism of oil accumulation and fatty acid(FA)synthesis in walnut,the samples ...Walnut(Juglans regia L.)is a good source of lipids and polyunsaturated fatty acids(PUFAs).In order to explore the biosynthesis molecular mechanism of oil accumulation and fatty acid(FA)synthesis in walnut,the samples at different development periods of three walnut cultivars,’Zhipi’(ZP),’Xinwu 417’(W417)and’Xinwen 81’(W81)were collected for transcriptomic analysis.The analysis of oil accumulation and FA profiles showed that the oil content in mature walnut kernel was nearly 70%,and over 90%of FAs were PUFAs.We identified 126 candidate genes including 64 genes for FA de novo synthesis,45 genes for triacylglycerol assembly,and 17 genes for oil bodies involved in lipid biosynthesis by RNA-sequencing.Ten key enzymes including ACCase,LACS6,LACS8,SAD,FAD2,FAD3,LPAAT1,DGAT2,PDAT2,and PLC encoded by 19 genes were highly associated with lipid biosynthesis.Quantitative PCR analysis further validated 9 important genes,and the results were well consistent with our transcriptomic data.Finally,5 important transcription factors including WRI1,ABI3,FUS3,PKL and VAL1 were identified,and their main regulatory genes might contain ACCase,KASII,LACS,FAD3 and LPAAT which were determined through correlation analysis of expression levels for 27 walnut samples.These findings will provide a comprehensive understanding and valuable information on the genetic engineering and molecular breeding in walnut.展开更多
为进一步探索玛中平台区近4000.0 km 2勘探空白区的勘探潜力,扩大玛湖凹陷百口泉组勘探潜力,实现玛湖凹陷整体突破,综合利用地质、钻井、高精度地震等资料,对玛湖凹陷百口泉组地层划分进行了细化,将玛中平台区低位域砂体划分为百口泉组...为进一步探索玛中平台区近4000.0 km 2勘探空白区的勘探潜力,扩大玛湖凹陷百口泉组勘探潜力,实现玛湖凹陷整体突破,综合利用地质、钻井、高精度地震等资料,对玛湖凹陷百口泉组地层划分进行了细化,将玛中平台区低位域砂体划分为百口泉组零段(百零段)。在此基础上,结合区域沉积、构造背景,从烃源岩条件、疏导体系、沉积体系和成藏条件等方面对玛中平台区低位域百零段油气成藏条件及控制因素展开了综合分析。研究表明:二叠系风城组烃源岩具有碱湖双峰式生油特征,油气资源基础大,百零段更近源,更容易捕获深层油气;玛中平台区印支期走滑断裂直插深层烃源岩,搭接形成了高效的输导体系;百口泉组顶底板条件优越,百零段在大型地层超覆背景下叠置发育多期湖侵退积砂体,形成规模有效的储盖组合;百零段发育四大规模扇体,其扇三角洲平原亚相致密带、扇间泥岩、构造等值线相互配置,形成复合式多面遮挡,为扇三角洲前缘大面积成藏奠定了基础。类比研究认为,中拐扇前缘亚相上倾、侧向遮挡条件好,具有宏观整体成藏基础。该区前缘亚相有利勘探面积大,岩性目标叠置发育,落实程度高,是目前寻求百零段新层系突破的重点勘探目标。百零段的突破有望打开玛中平台区勘探局面,进而实现玛湖凹陷百口泉组整体突破。展开更多
基金Supported by the National Science Foundation of China(42055402)。
文摘The conventional linear time-frequency analysis method cannot achieve high resolution and energy focusing in the time and frequency dimensions at the same time,especially in the low frequency region.In order to improve the resolution of the linear time-frequency analysis method in the low-frequency region,we have proposed a W transform method,in which the instantaneous frequency is introduced as a parameter into the linear transformation,and the analysis time window is constructed which matches the instantaneous frequency of the seismic data.In this paper,the W transform method is compared with the Wigner-Ville distribution(WVD),a typical nonlinear time-frequency analysis method.The WVD method that shows the energy distribution in the time-frequency domain clearly indicates the gravitational center of time and the gravitational center of frequency of a wavelet,while the time-frequency spectrum of the W transform also has a clear gravitational center of energy focusing,because the instantaneous frequency corresponding to any time position is introduced as the transformation parameter.Therefore,the W transform can be benchmarked directly by the WVD method.We summarize the development of the W transform and three improved methods in recent years,and elaborate on the evolution of the standard W transform,the chirp-modulated W transform,the fractional-order W transform,and the linear canonical W transform.Through three application examples of W transform in fluvial sand body identification and reservoir prediction,it is verified that W transform can improve the resolution and energy focusing of time-frequency spectra.
基金supported by the National Natural Science Foundation of China (No.51978588).
文摘The high and steep slopes along a high-speed railway in the mountainous area of Southwest China are mostly composed of loose accumulations of debris with large internal pores and poor stability,which can easily induce adverse geological disasters under rainfall conditions.To ensure the smooth construction of the high-speed railway and the subsequent safe operation,it is necessary to master the stability evolution process of the loose accumulation slope under rainfall.This article simulates rainfall using the finite element analysis software’s hydromechanical coupling module.The slope stability under various rainfall situations is calculated and analysed based on the strength reduction method.To validate the simulation results,a field monitoring system is established to study the deformation characteristics of the slope under rainfall.The results show that rainfall duration is the key factor affecting slope stability.Given a constant amount of rainfall,the stability of the slope decreases with increasing duration of rainfall.Moreover,when the amount and duration of rainfall are constant,continuous rainfall has a greater impact on slope stability than intermittent rainfall.The setting of the field retaining structures has a significant role in improving slope stability.The field monitoring data show that the slope is in the initial deformation stage and has good stability,which verifies the rationality of the numerical simulation method.The research results can provide some references for understanding the influence of rainfall on the stability of loose accumulation slopes along high-speed railways and establishing a monitoring system.
基金the financial support from the National Science Foundation of China(22078190 and 12002196)the National Key Research and Development Program of China(2020YFB1505802)。
文摘Li transient concentration distribution in spherical active material particles can affect the maximum power density and the safe operating regime of the electric vehicles(EVs). On one hand, the quasiexact/exact solution obtained in the time/frequency domain is time-consuming and just as a reference value for approximate solutions;on the other hand, calculation errors and application range of approximate solutions not only rely on approximate algorithms but also on discharge modes. For the purpose to track the transient dynamics for Li solid-phase diffusion in spherical active particles with a tolerable error range and for a wide applicable range, it is necessary to choose optimal approximate algorithms in terms of discharge modes and the nature of active material particles. In this study, approximation methods,such as diffusion length method, polynomial profile approximation method, Padé approximation method,pseudo steady state method, eigenfunction-based Galerkin collocation method, and separation of variables method for solving Li solid-phase diffusion in spherical active particles are compared from calculation fundamentals to algorithm implementation. Furthermore, these approximate solutions are quantitatively compared to the quasi-exact/exact solution in the time/frequency domain under typical discharge modes, i.e., start-up, slow-down, and speed-up. The results obtained from the viewpoint of time-frequency analysis offer a theoretical foundation on how to track Li transient concentration profile in spherical active particles with a high precision and for a wide application range. In turn, optimal solutions of Li solid diffusion equations for spherical active particles can improve the reliability in predicting safe operating regime and estimating maximum power for automotive batteries.
基金the Ministerial Level Advanced Research Foundation(020045089)
文摘A novel method of Doppler frequency extraction is proposed for Doppler radar scoring systems. The idea is that the time-frequency map can show how the Doppler frequency varies along the time-line, so the Doppler frequency extraction becomes curve detection in the image-view. A set of morphological operations are used to implement curve detection. And a map fusion scheme is presented to eliminate the influence of strong direct current （DC） component of echo signal during curve detection. The radar real-life data are used to illustrate the performance of the new approach. Experimental results show that the proposed method can overcome the shortcomings of piecewise-processing-based FFT method and can improve the measuring precision of miss distance.
文摘Objective: To analyze the non-periodic, unstable and even chaotic echoes scattered from microbubbles which are extremely sensitive and may easily collapse, fragment or shrink when ultrasound contrast agents are exposed to ultrasound (US) irradiation. Methods: The combined time-frequency analysis was applied to the original signals instead of the traditional Fourier spectral analysis technique. Results: The results obtained from simulation as well as experiment showed that the subharmonic, 2nd harmonic and ultra harmonic of the microbubbles occurred during the oscillation and varied with time. The dependence on the incident ultrasonic amplitude and microbubble parameters were established. Conclusion: The transient echoes backscattered from the ultrasound agent in the evaluation of the blood perfusion can be analyzed thoroughly by the technique of combined-frequency analysis and the time detail of the frequency contents can be revealed.
基金supported by the National Defence Pre-research Foundation of China。
文摘Nyquist Folding Receiver(NYFR)is a perceptron structure that realizes a low probability of intercept(LPI)signal analog to information.Aiming at the problem of LPI radar signal receiving,the time domain,frequency domain,and time-frequency domain problems of signals intercepted by NYFR structure are studied.Combined with the time-frequency analysis(TFA)method,a radar recognition scheme based on deep learning(DL)is introduced,which can reliably classify common LPI radar signals.First,the structure of NYFR and its characteristics in the time domain,frequency domain,and time and frequency domain are analyzed.Then,the received signal is then converted into a time-frequency image(TFI).Finally,four kinds of DL algorithms are used to classify LPI radar signals.Simulation results demonstrate the correctness of the NYFR structure,and the effectiveness of the proposed recognition method is verified by comparison experiments.
基金supported by the Fundamental Research Funds for Central Universities (No.2010-Ia-060)
文摘In order to study the time-frequency characteristics of blasting vibration signals, measured in milliseconds, we carried out site blasting vibration tests at an open pit of the Jinduicheng Mine. Based on recorded field data and applying a combination of RSPWVD and wavelet, we analyzed the time-fre- quency characteristics of recorded field data, summarized the time-frequency characteristics of blasting vibration signals in different frequency bands and present detailed information of blasting vibration sig- nals in milliseconds of high time-frequency resolutions. Because RSPWVD can be seen as of definite physical significance to signal energy distribution in time and frequency domains, we studied the energy distribution of blasting vibration signals for various milliseconds intervals from a perspective of energy distribution. The results indicate that the effect of milliseconds intervals on time-frequency characteris- tics of blasting vibration signals is significant; the length of delay time directly affects the energy distri- bution of blasting vibration signals as well as the duration of energy in ffeauencv bands.
基金supported by Major scientific and technological projects of Xinjiang Production and Construction Corps(2017DB006 and 2020KWZ-012)。
文摘Walnut(Juglans regia L.)is a good source of lipids and polyunsaturated fatty acids(PUFAs).In order to explore the biosynthesis molecular mechanism of oil accumulation and fatty acid(FA)synthesis in walnut,the samples at different development periods of three walnut cultivars,’Zhipi’(ZP),’Xinwu 417’(W417)and’Xinwen 81’(W81)were collected for transcriptomic analysis.The analysis of oil accumulation and FA profiles showed that the oil content in mature walnut kernel was nearly 70%,and over 90%of FAs were PUFAs.We identified 126 candidate genes including 64 genes for FA de novo synthesis,45 genes for triacylglycerol assembly,and 17 genes for oil bodies involved in lipid biosynthesis by RNA-sequencing.Ten key enzymes including ACCase,LACS6,LACS8,SAD,FAD2,FAD3,LPAAT1,DGAT2,PDAT2,and PLC encoded by 19 genes were highly associated with lipid biosynthesis.Quantitative PCR analysis further validated 9 important genes,and the results were well consistent with our transcriptomic data.Finally,5 important transcription factors including WRI1,ABI3,FUS3,PKL and VAL1 were identified,and their main regulatory genes might contain ACCase,KASII,LACS,FAD3 and LPAAT which were determined through correlation analysis of expression levels for 27 walnut samples.These findings will provide a comprehensive understanding and valuable information on the genetic engineering and molecular breeding in walnut.
文摘为进一步探索玛中平台区近4000.0 km 2勘探空白区的勘探潜力,扩大玛湖凹陷百口泉组勘探潜力,实现玛湖凹陷整体突破,综合利用地质、钻井、高精度地震等资料,对玛湖凹陷百口泉组地层划分进行了细化,将玛中平台区低位域砂体划分为百口泉组零段(百零段)。在此基础上,结合区域沉积、构造背景,从烃源岩条件、疏导体系、沉积体系和成藏条件等方面对玛中平台区低位域百零段油气成藏条件及控制因素展开了综合分析。研究表明:二叠系风城组烃源岩具有碱湖双峰式生油特征,油气资源基础大,百零段更近源,更容易捕获深层油气;玛中平台区印支期走滑断裂直插深层烃源岩,搭接形成了高效的输导体系;百口泉组顶底板条件优越,百零段在大型地层超覆背景下叠置发育多期湖侵退积砂体,形成规模有效的储盖组合;百零段发育四大规模扇体,其扇三角洲平原亚相致密带、扇间泥岩、构造等值线相互配置,形成复合式多面遮挡,为扇三角洲前缘大面积成藏奠定了基础。类比研究认为,中拐扇前缘亚相上倾、侧向遮挡条件好,具有宏观整体成藏基础。该区前缘亚相有利勘探面积大,岩性目标叠置发育,落实程度高,是目前寻求百零段新层系突破的重点勘探目标。百零段的突破有望打开玛中平台区勘探局面,进而实现玛湖凹陷百口泉组整体突破。
